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314 articles for “Healthcare challenges”
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Revolutionizing Artificial Organs: Next-Generation Membrane Technologies for Precision Medicine and Global Health
Abstract: Membrane technology has emerged as a cornerstone in the advancement of artificial organ systems, offering critical functionalities in selective molecular filtration, tissue scaffolding, and controlled therapeutic delivery. Recent innovations have propelled the field beyond traditional polymeric membranes to include nanostructured, biomimetic, and stimuli-responsive materials, significantly enhancing biocompatibility, selectivity, and durability. The integration of smart technologies, such as AI-driven membrane design, bioelectronic sensors, and personalized fabrication via 3D printing, is ushering …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 29–39 Read article
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A review on Advanced Materials for Sustainable Innovation and Innovative Applications in Chemical Engineering
Abstract: High level materials assume a vital part in driving feasible mechanical headways across different enterprises. This comprehensive review paper aims to provide an in-depth analysis of the properties, synthesis methods, and potential applications of advanced materials, focusing particularly on nanomaterials, biomaterials, and smart materials. These materials exhibit unique characteristics that render them indispensable for a wide array of applications, spanning energy storage, environmental remediation, healthcare, and electronics. Nanomaterials, characterized by …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 59–79 Read article
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Parasites and Public Health: Global Challenges and Emerging Insights
Abstract: Parasitic illnesses are still a big problem for health around the world, especially in developing nations where sanitation and access to healthcare are restricted. Protozoa, helminths, and ectoparasites are all types of parasites that can damage many organ systems and cause both short-term and long-term health problems. This article looks at how parasites affect human health in different ways, focussing on common infections including malaria, schistosomiasis, and toxoplasmosis. Parasitic infections …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 8–15 Read article
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Medicine and Femmecare Sanitary Napkins Vending Machine
Abstract: Access to affordable sanitary napkins and essential medicines in rural areas of India remains a significant challenge. This paper presents an innovative vending machine designed for rural areas to provide essential sanitary napkins and medicines, aiming to enhance public health and welfare. The vending machine addresses menstrual hygiene by offering free sanitary napkins to registered women via a unique QR code system, leveraging Raspberry Pi technology and a Pi camera. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 1, 2024 · pp. 22–29 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Mindfulness-Based Stress Reduction Techniques Among Healthcare Workers in South India: A Regional Analysis of Efficacy and Barriers
Abstract: Healthcare workers (HCWs) in India, particularly in resource-limited settings, face high levels of occupational stress, yet structured stress-reduction interventions remain underutilized. Mindfulness-Based Stress Reduction (MBSR) offers a potential solution, but implementation challenges persist. To assess the effectiveness of an 8-week MBSR programme in reducing stress and enhancing mindfulness among HCWs in South India, and to identify barriers to its successful implementation across urban and rural settings. A quasi-experimental study was …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 99–103 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Fuzzy Mathematics in Decision-Making: A Quantitative Perspective
Abstract: Fuzzy mathematics plays an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and highlights other possible alternatives alongside fuzzy methodologies. Fuzzy models offer a versatile and precise approach to assessing complex and uncertain situations using fuzzy sets, membership functions, linguistic variables, and aggregation methods. Through the lenses of time, cost, and quality, the project management case study illustrates how fuzzy logic effectively evaluates …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 6–12 Read article
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Postbiotics Unveiled: Mechanistic Insights and Therapeutic Implications in Obesity.
Abstract: The burgeoning global obesity epidemic necessitates innovative therapeutic approaches, and postbiotics, bioactive compounds arising from microbial fermentation, have emerged as promising contenders in reshaping obesity management. This comprehensive review explores the multifaceted mechanisms by which postbiotics impact obesity, from modulating gut microbiota composition to influencing metabolic pathways and enhancing energy expenditure. The exploration of postbiotics is rooted in a deeper understanding of the gut–brain axis and bidirectional communication between gut …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 11–28 Read article
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Cyber Security Challenges in Developing Countries: A Special Reference to Afghanistan
Abstract: This review paper explores the widespread cybersecurity challenges encountered by developing countries, specifically concentrating on Afghanistan during the period from 2020 to 2024. The study highlights the significant gaps in cybersecurity capabilities, infrastructure, and regulatory frameworks that exacerbate the vulnerability of these nations to cyber threats. Key findings include the lack of basic legal frameworks for countering cybercrime, with only a minority of African states, and presumably other developing regions …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Speech Therapy in the Digital Age: Telepractice and Remote Interventions
Abstract: In the digital age, advancements in technology have revolutionized various aspects of healthcare, including speech therapy. This study explores the emergence and evolution of telepractice and remote interventions in speech therapy. Telepractice, interchangeably labelled as teletherapy or telehealth, denotes providing speech therapy services remotely using telecommunication technology. Its incorporation into speech therapy has broadened service accessibility, notably benefiting underserved or remote locales. Moreover, it has ensured uninterrupted care delivery during …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 42–46 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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The Role of AI in Modern Healthcare Systems
Abstract: In the Indian pandemic, several issues in the healthcare system have brought to the forefront the imperative of hospitals shifting from manual medical records to computerized healthcare information systems. These solutions offer an effective method for integrating computer-based decision support tools and communicating e-healthcare information. With increasing dependence on AI-based solutions, a strong IT infrastructure is essential for improving healthcare quality, data security, and controlling increasing medical expenses. Advances in …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 69–76 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Striking A Balance: Ethical Guidelines for A.I. Integration in Mental Health Services
Abstract: Introduction: Artificial Intelligence (AI) integration in mental health services presents opportunities and challenges. This study examines ethical considerations and proposes guidelines for responsible AI implementation in mental healthcare. The rapid advancement of AI technologies has sparked both excitement and concern within the mental health community, necessitating a thorough examination of their potential benefits and risks. By addressing these ethical considerations, this research aims to contribute to the development of a …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 8–15 Read article
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Bridging the Theory-Practice Gap in Nursing Education in India: Exploring the Role of Simulation-Based Learning and AI-Driven Education
Abstract: The theory-practice gap in nursing education is a persistent issue that hinders the effective application of theoretical knowledge in clinical practice, ultimately affecting the clinical competence and decision-making skills of nursing graduates. This study explores the factors contributing to the theory-practice gap in nursing education in India and evaluates the potential of simulation-based learning (SBL) and artificial intelligence (AI)-driven education in bridging this gap. A mixed-methods approach was employed, involving …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 Read article